Bibliographic record
Abstract
The main purpose of this research is to revive a mild dowry -in cash-at the beginning of couple life in an Islamic way, with the support of proper legal laws and premarital counseling.The practice of the custom in imposing heavy dowries (marriage portions) pressures the man during divorce or sometimes it has caused a kind of jealousy and the creation of an unusual false competition in society.However, the solution is easy and depends on the real determination of the true believers.After the marriage contract is signed, based on a true commitment, man is obligated to pay his wife with consent or ask for a due date to pay the dowry at the first opportunity.Compulsory payment of a part of dowry at the beginning of a couple life or compulsory insurance of a part of Mahr in heavy dowries or the portions which are higher than allowed legal limit indicate the seriousness of this legal commitment to couples; these issues provide the access of women to their economic rights under peaceful conditions.It also motivates the couple to reduce the costly and unnecessary formalities of the marriage ceremony.In addition, it is obvious to anyone that this gift offering to women has always been used to motivate the family circle and increase the welfare of all the members, not a reserve for women's times of loneliness and need.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.964 | 0.953 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".